What is awsome-distributed-training?
awsome-distributed-training is a AI tool that Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS. . It has a Nerq Trust Score of 53/100 (D). 394 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 394 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What awsome-distributed-training Does
awsome-distributed-training is a tool in the AI tool category. Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS. . It is published by an independent developer and has no specified license. With 394 GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use awsome-distributed-training
awsome-distributed-training is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Unknown |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=aws-samples-awsome-distributed-training
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.